Zhou Xinpeng, Wei Guohua, Wu Siliang, Wang Dawei
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China.
Beijing Key Laboratory of Fractional Signals and Systems, Beijing 100081, China.
Sensors (Basel). 2016 Mar 11;16(3):364. doi: 10.3390/s16030364.
This paper proposes a three-dimensional inverse synthetic aperture radar (ISAR) imaging method for high-speed targets in short-range using an impulse radar. According to the requirements for high-speed target measurement in short-range, this paper establishes the single-input multiple-output (SIMO) antenna array, and further proposes a missile motion parameter estimation method based on impulse radar. By analyzing the motion geometry relationship of the warhead scattering center after translational compensation, this paper derives the receiving antenna position and the time delay after translational compensation, and thus overcomes the shortcomings of conventional translational compensation methods. By analyzing the motion characteristics of the missile, this paper estimates the missile's rotation angle and the rotation matrix by establishing a new coordinate system. Simulation results validate the performance of the proposed algorithm.
本文提出了一种利用脉冲雷达对短距离高速目标进行三维逆合成孔径雷达(ISAR)成像的方法。根据短距离高速目标测量的要求,本文建立了单输入多输出(SIMO)天线阵列,并进一步提出了一种基于脉冲雷达的导弹运动参数估计方法。通过分析平移补偿后弹头散射中心的运动几何关系,推导了平移补偿后的接收天线位置和时延,从而克服了传统平移补偿方法的不足。通过分析导弹的运动特性,建立新的坐标系估计导弹的旋转角度和旋转矩阵。仿真结果验证了所提算法的性能。